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5 часов назад

Senior Technical Architect, Data Engineering (Python)

175 000 - 250 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Technical Architect, Data Engineering (Python): Architecting secure, scalable data processing platforms, ETL frameworks, streaming pipelines, and FastAPI microservices with an accent on distributed event-driven systems, MongoDB, Redis, Kubernetes, and AWS GovCloud. Focus on designing high-throughput architectures, implementing Secure SDLC practices, and solving complex performance, observability, and reliability challenges across production systems.

Location: Remote with required onsite visits to a SCIF in the Washington, D.C.–Baltimore area. U.S.-based candidates must reside in one of the listed eligible states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, or WV. International candidates may reside in the United Kingdom only.

Salary: $175,000–$250,000 per year, plus equity and benefits.

Company

hirify.global develops data and software solutions for safer space operations, global security, disaster response, climate monitoring, and critical infrastructure.

What you will do

  • Architect and implement Python-based ETL frameworks, orchestration layers, and high-throughput data pipelines.
  • Design and optimize Kafka or RabbitMQ event-driven streaming systems.
  • Build and scale FastAPI microservices with strong performance, security, and observability.
  • Lead MongoDB data modeling, indexing, aggregation, sharding, replication, and performance tuning.
  • Design Redis-based caching, session management, and high-speed data access layers.
  • Define distributed-systems standards, lead architecture reviews, troubleshoot production issues, and drive Kubernetes and AWS integration.

Requirements

  • Expert-level Python experience across ETL, microservices, and distributed data processing.
  • Strong FastAPI experience and production-level Kafka or RabbitMQ expertise.
  • Mandatory MongoDB expertise and experience with Redis or another in-memory database.
  • Strong Linux, Docker, Kubernetes, and AWS experience across compute, data, networking, and security services.
  • Experience debugging complex distributed or high-scale systems and applying Secure SDLC principles.
  • Professional experience implementing Agentic AI workflows with LangChain and CrewAI, plus a bachelor’s or advanced degree in computer science, engineering, or a related field.

Nice to have

  • Space industry data familiarity.
  • Current and active Top Security Clearance with SCI Eligibility.
  • Experience with distributed systems, RAG pipelines, and modern cloud-native development.

Culture & Benefits

  • Remote-first work with required onsite access to a secure facility in the DC area.
  • Direct influence over architecture, engineering standards, and platform strategy.
  • Work with a small senior team on secure, high-impact space and data platforms.
  • Equity and company benefits are provided.

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